Modeling the evolution of infrared galaxies: A Parametric backwards evolution model
Matthieu B\'ethermin, Herv\'e Dole, Guilaine Lagache, Damien Le Borgne, and Aur\'elie P\'enin

TL;DR
This paper presents a simple parametric model of infrared galaxy evolution that fits multiple observational data sets, interprets recent observations, and makes predictions for future infrared and submillimeter surveys.
Contribution
It introduces a new backward evolution model with two breaks in density and luminosity evolution, incorporating lensing effects and fitting diverse data with Monte Carlo methods.
Findings
Successfully reproduces infrared galaxy counts and luminosity functions
Analyzes the contribution of different populations to the cosmic infrared background
Provides predictions for confusion limits and universe opacity for future missions
Abstract
We aim at modeling the infrared galaxy evolution in an as simple as possible way and reproduce statistical properties among which the number counts between 15 microns and 1.1 mm, the luminosity functions, and the redshift distributions. We then aim at using this model to interpret the recent observations (Spitzer, Akari, BLAST, LABOCA, AzTEC, SPT and Herschel), and make predictions for future experiments like CCAT or SPICA. This model uses an evolution in density and luminosity of the luminosity function with two breaks at redshift ~0.9 and 2 and contains the two populations of the Lagache et al. (2004) model: normal and starburst galaxies. We also take into account the effect of the strong lensing of high-redshift sub-millimeter galaxies. It has 13 free parameters and 8 additional calibration parameters. We fit the parameters to the IRAS, Spitzer, Herschel and AzTEC measurements with…
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